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98 results for “lipid bilayer”

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zenodo36/100

Simulations DSPC bilayers (512 lipids) using charmm36 ff in gromacs

<p>Collection simulations of DSPC (512 lipids) bilayers in gromacs using the charmm36 force field.  Temperatures of 333 and 338 K are included. The list of systems can be found below:</p> <p>1) DSPC_512_NaCl_150mM_333K (620ns)<br> 2) DSPC_512_NaCl_150mM_338K (500ns)</p> <p>For further information read the Readme file provided for each simulation.</p>

opencc-by-4.0Oct 2017View details →
zenodo36/100

Simulations DPPC bilayers (512 lipids) using charmm36 ff in gromacs

<p>Collection simulations of DPPC (512 lipids) bilayers in gromacs using the charmm36 force field.  Several temperatures between 315 and 338 K are included. The list of systems can be found below where the several parameter are:</p> <p>1) DPPC_512_NaCl_150mM_315K_v-rescale (500ns)<br> 2) DPPC_512_NaCl_150mM_320K (700ns)<br> 3) DPPC_512_NaCl_150mM_320K_v-rescale (500ns)<br> 4) DPPC_512_NaCl_150mM_322K_v-rescale (700ns)<br> 5) DPPC_512_NaCl_150mM_325K (500ns)<br> 6) DPPC_512_NaCl_150mM_325K_v-rescale (500ns)<br> 7) DPPC_512_NaCl_150mM_325K_cutoff09 (500ns)<br> 8) DPPC_512_NaCl_150mM_325K_MEMB_338K (500ns)<br> 9) DPPC_512_NaCl_150mM_338K (500ns)</p> <p>For further information read the Readme file provided for each simulation.</p>

opencc-by-4.0Oct 2017View details →
zenodo36/100

Set simulations small pure bilayers (72 lipids) using charmm36 ff in gromacs (DPPC, POPC)

<p>Collection simulations of DPPC and POPC bilayers in gromacs using the charmm36 force field. The list of systems describing their particular simulation conditions can be found below:</p> <p>1) DPPC_72_325K (500ns)<br> 2) DPPC_72_310K_rmcomm_leaflets (500ns)<br> 3) DPPC_72_310K_rmcomm_leaflets_low_hydration (500ns)<br> 4) POPC_72_310K (500ns)<br> 5) POPC_72_310K_rmcomm_leaflets (500ns)<br> 6) POPC_72_310K_rmcomm_leaflets_low_hydration (550ns)<br> 7) POPC_72_303K_rmcomm_leaflets_low_hydration (550ns)</p> <p>For further information read the Readme file provided for each simulation.</p>

opencc-by-4.0Oct 2017View details →
zenodo36/100

200 ns simulation of a DMPC bilayer using Gromos 53A6 + Berger lipids

<p><strong>MD simulation of a DMPC bilayer: 200 ns </strong></p> <ul> <li>Gromos 53A6 force field and Berger lipids (lipid.itp)</li> <li>128 DMPC lipids and 3655 SPC waters. Total number of atoms: 16853.</li> <li>This simulation: 200 ns. The systems was equilibrated for 52 ns before this run.</li> <li>Simulation details: <ul> <li>Temperature: 323 K</li> <li>Times step: 2 fs</li> <li>V-rescale thermostat, Parrinello-Rahman barostat, P-LINCS for constraints</li> <li>The run was done using a laptop with GTX980M. Performance: ~105ns/day</li> </ul> </li> <li>Area per lipid and thickness (P-P distance) are provided.</li> </ul>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Molecular dynamics simulation of the permeation of 5ALA across the lipid bilayers of the stratum corneum

<p>Input and output files for US-REST3 MD simulations of the permeation of 5ALA across a lipid bilayer representative of the lipid bilayers of the stratum corneum. Each folder corresponds to US-REST3 and conventional US calculations performer at different distances between the permeant and the centre of mass of the lipid bilayer.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Molecular dynamics simulation of the permeation of Me-5ALA across the lipid bilayers of the stratum corneum

<p>Input and output files for US-REST3 MD simulations of the permeation of Me-5ALA across a lipid bilayer representative of the lipid bilayers of the stratum corneum. Each folder corresponds to US-REST3 and conventional US calculations performer at different distances between the permeant and the centre of mass of the lipid bilayer.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

DPPC lipid bilayer simulation with CHARMM36-LJPME force field using OpenMM

<p>DPPC lipid bilayer simulation (300 ns) with CHARMM36-LJPME force field using OpenMM at 323K.</p> <p>Used in <a href="http://doi.org/10.1021/acs.jctc.1c00951">https://doi.org/10.1021/acs.jctc.1c00951</a></p> <p>The force field parameters were downloaded from&nbsp;<a href="https://terpconnect.umd.edu/%7Ejbklauda/ff.html">https://terpconnect.umd.edu/%7Ejbklauda/ff.html</a>.</p> <p><a href="https://zenodo.org/api/files/1e89f677-91a8-472d-aebb-144fddd58d23/trajCORRECT1-2.dcd?versionId=5317fd88-6b98-4905-b171-53c1cd199cfe">trajCORRECT1-2.dcd </a>has incorrect timestamps. traj1-2.xtc has correct timestamps.<br> &nbsp;</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

Movies of oxidized lipids PoxnoPC and PazePC in POPC bilayers

<p>Movies showing the last 100 ns from 1 microsecond simulations of PoxnoPC-POPC and PazePC-POPC systems.&nbsp;<br> &nbsp;</p> <ul> <li>POPC: 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphochol</li> <li>PoxnoPC: 1-palmitoyl-2-(9&rsquo;-oxo-nonanoyl)-sn-glycero-3-phosphocholin</li> <li>PazePC: 1-palmitoyl-2-azelaoyl-sn-glycero-3-phosphocholin</li> </ul> <p><strong>Reference:</strong></p> <ul> <li><em><strong>Effect of oxidation on POPC lipid bilayers: Anionic carboxyl group plays a major role</strong></em>, Behnaz Bagheri, Phansiri Boonnoy, <a href="https://www.researchgate.net/profile/Jirasak-Wong-Ekkabut">Jirasak Wong-ekkabut</a> and <a href="https://www.researchgate.net/profile/Mikko-Karttunen-2">Mikko Karttunen</a>, PCCP (2023). DOI: <a href="https://doi.org/10.1039/D3CP01692G">https://doi.org/10.1039/D3CP01692G</a> &nbsp;</li> </ul> <p>&nbsp;</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Single lipid component membrane bilayer MD with CHARMM36 force field, simulated with the CHARMM program

<p>Data for ten single component lipid bilayer simulations, with 3 files per lipid: a DCD file with coordinates, a PSF file describing the system, and a .zip file containing the starting coordinate set (CHARMM COOR format) and the other inputs used for the CHARMM simulations.&nbsp; Only the POPG system includes ions: Na+ to neutralize the lipids, and ca. 0.15 M NaCl.</p> <p>The DCD trajectory files contain coordinate sets stored at 0.1 ns intervals,&nbsp;<br> and are in the original CHARMM binary format.</p> <p>Lipid Nlpd &nbsp;Nwat &nbsp;ns<br> DLPC &nbsp;648 &nbsp;25920 &nbsp;200<br> DMPC &nbsp;648 &nbsp;16632 &nbsp;100<br> DOPC &nbsp;648 &nbsp;21681 &nbsp;350<br> DOPE &nbsp;648 &nbsp;21681 &nbsp;350<br> DPPC &nbsp;648 &nbsp;19701 &nbsp;300<br> POPC &nbsp;648 &nbsp;20178 &nbsp;200<br> POPE &nbsp;720 &nbsp;23049 &nbsp;100<br> POPG &nbsp;648 &nbsp;29160 &nbsp;200<br> PSM &nbsp; 648 &nbsp;18828 &nbsp;200<br> SDPE &nbsp;648 &nbsp;25920 &nbsp;100</p> <p>&quot;Mechanical properties of lipid bilayers from molecular dynamics simulation&quot;,<br> R. M. Venable, F. L. Brown and R. W. Pastor,<br> Chemistry and Physics of Lipids, 192 pp. 60-74 (2015).&nbsp;</p> <p>https://pubmed.ncbi.nlm.nih.gov/26238099/<br> https://www.sciencedirect.com/science/article/pii/S0009308415300190?via%3Dihub</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; See also:</p> <p>&quot;Identifying systematic errors in a power spectral analysis of simulated<br> lipid membranes&quot;<br> Muhammed F. Erg&uuml;der, Markus Deserno<br> J. Chem. Phys. 154, 214103 (2021); doi: 10.1063/5.0049448<br> &nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2023View details →
dryad36/100

Data from: Bioinspired design rules for flipping across the lipid bilayer from systematic simulations of membrane protein segments

Open the record for dataset details and reuse information.

publicJul 2025View details →
zenodo32/100

Thermal properties of lipid bilayers determined using upconversion nanothermometry

<p>Dataset accompanying figures published in the publication DOI:&nbsp;10.5281/zenodo.3597416</p>

opencc-by-4.0Sep 2019View details →
zenodo32/100

Slipids-2020 force field for lipid bilayer simulations

<p>Slipids-2020 force field for various lipids<br> -----------------------------------------------------</p> <p>Authors: &nbsp;Joakim J&auml;mbeck, Inna Ermilova, Fredrik Grote, Alexander Lyubartsev<br> &nbsp;&nbsp; &nbsp; &nbsp;Department of Materials and Environmental Chemistry,<br> &nbsp;&nbsp; &nbsp; &nbsp;Stockholm University, &nbsp;Stockholm &nbsp; 10691 &nbsp;Sweden<br> &nbsp;&nbsp; &nbsp; &nbsp;e-mail: &nbsp;alexander.lyubartsev@mmk.su.se<br> &nbsp;&nbsp; &nbsp; &nbsp;2012 - 2020</p> <p><br> Content:</p> <p>Slipids_2020.ff: &nbsp;directory containing the force field.<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Included into the Gromacs topology file by: &nbsp;<br> &nbsp; &nbsp;&nbsp; &nbsp; &nbsp; &nbsp; #include &quot;Slipids_2020.ff/forcefield.itp&quot;</p> <p>itp_files: &nbsp; itp files for various lipids<br> boxes: &nbsp; &nbsp; &nbsp; equilibrated configurations for some lipid systems</p> <p>The force field can be used together with the AMBER-family FF for proteins and GAFF for small molecules</p> <p>&nbsp;</p>

opencc-by-4.0Nov 2020View details →
zenodo32/100

Multiscale molecular dynamics simulations of human P-glycoprotein in complex lipid bilayer

<p>The topology (gro) and trajectory (xtc)  files for multiscale - coarse-grained (CG) and atomistic (AT)  molecular dynamics simulations of human P-glycoprotein in complex lipid bilayer. The coarse grained simulations are 10 microseconds long and the trajectories have 1 frame saved at every 10 ns, while the atomistic simulations are 100 ns long and have 2 frames saved at every nanosecond. </p>

opengpl-2.0Aug 2017View details →
zenodo32/100

Tracking conformational transitions of the gonadotropin hormone receptors in a bilayer of (SDPC) poly-unsaturated lipids from all-atom molecular dynamics simulations.

<p>In the present study, we describe the results from a computational microscopy perspective (also known as molecular dynamics simulation) at the atomistic resolution for the two gonadotropin hormone receptors, the follicle-stimulant hormone receptor and the luteinizing/chorionic gonadotropin hormone receptor, which are essential for reproduction in humans.</p>

opencc-by-4.0Oct 2023View details →
zenodo32/100

All-atom simulations of DOPE/DOPC lipid bilayers (0%, 50% and 100% DOPC).

<p>All-atom (CHARMM C36) simulations of DOPE/DOPC bilayers (0, 50 and 100 % DOPE). Size sufficient to get the bending modulus and spontaneous curvature difference using our "Spatial Extent" paper methodology.</p><p>DCD format trajectories have frames saved every 0.5 nanoseconds (500 picoseconds).</p><p>Amber dynamics input file included.</p>

opencc-by-4.0Dec 2023View details →
zenodo32/100

Figure Data for "Crystallization of n-alkanes under anisotropic nano-confinement in lipid bilayers"

<p>Data contained in the figures in the preprint entitled "Crystallization of n-alkanes under anisotropic nano-confinement in lipid bilayers"; to be published on ChemRxiv.</p>

opencc-by-4.0Dec 2023View details →
zenodo32/100

Inputs and outputs for bilayers simulations in "Accurate Simulations of Lipid Monolayers Require a Water Model With Correct Surface Tension"

<p>Inputs and outputs file for simulations of POPC and DPPC Bilayers at various temperatures. For details see:</p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

Data for "Electrically Controlling and Optically Observing the Membrane Potential of Supported Lipid Bilayers"

<p>Raw data of all EIS, imaging and time-resolved fluorescence measurements presented in &quot;Electrically Controlling and Optically Observing the Membrane Potential of Supported Lipid Bilayers&quot;.</p>

opencc-by-4.0Dec 2021View details →
zenodo32/100

POPG lipid bilayer simulation at T298K ran with MODEL_CHARMM_GUI force field and Gromacs

<p>POPG lipid bilayer simulation at T298K ran 100ns with the force field given by CHARMM gui using Gromacs.</p> <p>118 POPG, 4110 TIP3P and 118 potassium molecules.</p> <p> </p>

opencc-by-4.0Oct 2017View details →
zenodo32/100

Simulations of a POPC lipid bilayer in water solution at various NaCl and CaCl2 concentration with Lipid14, TIP3p and Dang or ECC ions

<p>flat POPC bilayer simulations at various NaCl and CaCl2 concentration</p> <p>modelled with Lipid14 force field, TIP3p water model and Dang or ECC ions.</p> <p>file names report molar fraction of cations (i.e. not bulk concentrations).</p> <p>simulations performed with Gromacs 5.1.4 (*.xtc files) and openMM 7 (*.dcd files)</p> <p>simulation length 300 ns</p> <p>temperature 313 K (otherwise noted)</p>

opencc-by-4.0Dec 2017View details →

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